[jira] [Comment Edited] (SPARK-1698) Improve spark integration

2014-05-02 Thread Guoqiang Li (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-1698?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13987699#comment-13987699
 ] 

Guoqiang Li edited comment on SPARK-1698 at 5/2/14 2:32 PM:


[~srowen]
In [The PR 598|https://github.com/apache/spark/pull/598] #1,#2,#4 do not occur 
and #3 is very easy to find.
The directory structure of spark similar to hadoop 2.3.0.
There are three subcomponents: core,examples,hive,The directory structure of 
spark: 
{code}
+- SPARK_HOME
|  +- bin
| \- *
|  +- sbin
| \- *
|  +- RELEASE
|  +- conf
| \- *
|  +- python
| \- *
|  +- share
| \- spark
|+- core
|   +- lib
|  \- *.jar
|   +- spark-core*.jar
|   +- spark-repl*.jar
|   +- spark-yarn*.jar
|   +- spark-bagel*.jar
|   +- spark-graphx*.jar
|   +- spark-sql*.jar
|   +- spark-catalyst*.jar
|   +- spark-mllib*.jar
|   +- spark-streaming*.jar
|+- hive
|   +- lib
|  \- *.jar
|   \- spark-hive*.jar
|+- examples
|   +- lib
|  \- *.jar
|   \- spark-examples*.jar
{code}


was (Author: gq):
[~srowen]
In [The PR 598|https://github.com/apache/spark/pull/598] #1,#2,#4 do not occur 
and #3 is very easy to find.
The directory structure of Spark similar to hadoop 2.3.0.
There are three subcomponents: core,examples,hive,their path is 
share/spark/core,share/spark/examples,share/spark/hive. their dependency path 
is share/spark/core/lib,share/spark/examples/lib,share/spark/hive/lib

 Improve spark integration
 -

 Key: SPARK-1698
 URL: https://issues.apache.org/jira/browse/SPARK-1698
 Project: Spark
  Issue Type: Improvement
  Components: Build, Deploy
Reporter: Guoqiang Li
Assignee: Guoqiang Li
 Fix For: 1.0.0


 Use the shade plugin to create a big JAR with all the dependencies can cause 
 a few problems
 1. Missing jar's meta information
 2. Some file is covered, eg: plugin.xml
 3. Different versions of a jar may co-exist
 4. Too big, java 6 does not support



--
This message was sent by Atlassian JIRA
(v6.2#6252)


[jira] [Comment Edited] (SPARK-1698) Improve spark integration

2014-05-02 Thread Guoqiang Li (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-1698?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13987699#comment-13987699
 ] 

Guoqiang Li edited comment on SPARK-1698 at 5/2/14 2:36 PM:


[~srowen]
In [The PR 598|https://github.com/apache/spark/pull/598] #1,#2,#4 do not occur 
and #3 is very easy to find.
The directory structure of spark similar to hadoop 2.3.0.
There are three subcomponents: core,examples,hive,The directory structure of 
spark: 
{code}
+- SPARK_HOME
|  +- bin
| \- *
|  +- sbin
| \- *
|  +- RELEASE
|  +- conf
| \- *
|  +- python
| \- *
|  \- share
| \- spark
|+- core
|   +- lib
|  \- *.jar
|   +- spark-core*.jar
|   +- spark-repl*.jar
|   +- spark-yarn*.jar
|   +- spark-bagel*.jar
|   +- spark-graphx*.jar
|   +- spark-sql*.jar
|   +- spark-catalyst*.jar
|   +- spark-mllib*.jar
|   \- spark-streaming*.jar
|+- hive
|   +- lib
|  \- *.jar
|   \- spark-hive*.jar
|+- examples
|   +- lib
|  \- *.jar
|   \- spark-examples*.jar
{code}


was (Author: gq):
[~srowen]
In [The PR 598|https://github.com/apache/spark/pull/598] #1,#2,#4 do not occur 
and #3 is very easy to find.
The directory structure of spark similar to hadoop 2.3.0.
There are three subcomponents: core,examples,hive,The directory structure of 
spark: 
{code}
+- SPARK_HOME
|  +- bin
| \- *
|  +- sbin
| \- *
|  +- RELEASE
|  +- conf
| \- *
|  +- python
| \- *
|  +- share
| \- spark
|+- core
|   +- lib
|  \- *.jar
|   +- spark-core*.jar
|   +- spark-repl*.jar
|   +- spark-yarn*.jar
|   +- spark-bagel*.jar
|   +- spark-graphx*.jar
|   +- spark-sql*.jar
|   +- spark-catalyst*.jar
|   +- spark-mllib*.jar
|   \- spark-streaming*.jar
|+- hive
|   +- lib
|  \- *.jar
|   \- spark-hive*.jar
|+- examples
|   +- lib
|  \- *.jar
|   \- spark-examples*.jar
{code}

 Improve spark integration
 -

 Key: SPARK-1698
 URL: https://issues.apache.org/jira/browse/SPARK-1698
 Project: Spark
  Issue Type: Improvement
  Components: Build, Deploy
Reporter: Guoqiang Li
Assignee: Guoqiang Li
 Fix For: 1.0.0


 Use the shade plugin to create a big JAR with all the dependencies can cause 
 a few problems
 1. Missing jar's meta information
 2. Some file is covered, eg: plugin.xml
 3. Different versions of a jar may co-exist
 4. Too big, java 6 does not support



--
This message was sent by Atlassian JIRA
(v6.2#6252)